swaits
5b5fe50df3
Adds heuropt-plot, a tiny SVG-only plotter that takes heuropt results and emits scatter plots (pareto_front_svg) and line plots (convergence_svg). No heavy 'plotters' or 'tiny-skia' dep — hand- rolled SVG so the crate adds <100 KB to a build. Workspace setup: root Cargo.toml gains [workspace] with members = ['.', 'heuropt-plot']. heuropt-plot has its own version (0.1.0) and publishes independently against heuropt 0.8+. Adds examples/visualize.rs that wires it up: NSGA-II on Schaffer N.1, plain run() (no observer plumbing), final-front SVG written to disk.
52 lines
1.5 KiB
TOML
52 lines
1.5 KiB
TOML
[workspace]
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members = [".", "heuropt-plot"]
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[package]
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name = "heuropt"
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version = "0.8.0"
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edition = "2024"
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rust-version = "1.85"
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authors = ["Stephen Waits <steve@waits.net>"]
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description = "A practical Rust toolkit for heuristic single-, multi-, and many-objective optimization."
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license = "MIT"
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readme = "README.md"
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repository = "https://github.com/swaits/heuropt"
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homepage = "https://github.com/swaits/heuropt"
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documentation = "https://docs.rs/heuropt"
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keywords = ["optimization", "evolutionary", "nsga", "pareto", "moead"]
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categories = ["algorithms", "science", "mathematics", "simulation"]
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[features]
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default = []
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serde = ["dep:serde"]
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parallel = ["dep:rayon"]
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async = ["dep:futures"]
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[dependencies]
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futures = { version = "0.3", optional = true, default-features = false, features = ["std", "async-await"] }
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rand = "0.9"
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rand_distr = "0.5"
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rayon = { version = "1", optional = true }
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serde = { version = "1", features = ["derive"], optional = true }
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[dev-dependencies]
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gungraun = "0.18"
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heuropt-plot = { path = "heuropt-plot" }
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proptest = "1"
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tokio = { version = "1", features = ["rt-multi-thread", "macros", "time"] }
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[[bench]]
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name = "hot_paths"
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harness = false
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[[example]]
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name = "async_eval"
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required-features = ["async"]
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# Tighten release codegen for the compare harness and downstream binaries
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# that build heuropt directly (i.e. when this crate is the workspace root).
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# When heuropt is used as a dependency the consumer's profile wins.
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[profile.release]
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lto = "thin"
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codegen-units = 1
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